Multi Path Heterogeneous Neural Networks: Novel comprehensive classification method of facial nerve function

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064173%3A_____%2F25%3A43927756" target="_blank" >RIV/00064173:_____/25:43927756 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11120/25:43927756 RIV/00216275:25530/25:39924132 RIV/60461373:22340/25:43930906
Result on the web
<a href="https://doi.org/10.1016/j.bspc.2024.107152" target="_blank" >https://doi.org/10.1016/j.bspc.2024.107152</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.bspc.2024.107152" target="_blank" >10.1016/j.bspc.2024.107152</a>

Result language
angličtina
Original language name
Multi Path Heterogeneous Neural Networks: Novel comprehensive classification method of facial nerve function
Original language description
This paper introduces a systematic classification of the facial nerve grading system using a comprehensive methodology using a pioneering Multi-Path Heterogeneous Neural Network (MPHNN) method designed for the accurate classification of exercise. It integrates four distinct Convolutional Neural Networks (CNNs) and Custom Feedforward Neural Networks (CFNNs) to enhance the precision of the classification. The CNNs are specifically tailored to scrutinize changes in the coordinates of facial landmarks over time, enabling the capture of both spatial information and temporal patterns in facial expressions during exercise. The CFNNs incorporate patient-specific variables and exercise statistics, including factors such as their surgical history, the type of exercise, its duration, and synthetic features like cumulative movement for each landmark. By leveraging this comprehensive framework, the proposed method offers a nuanced representation of the patient's exercise performance, thereby facilitating more precise outcomes of a classification.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30206 - Otorhinolaryngology

Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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